Visium
Human temporal cortex
GSM8893116
bronze Interactive viewer H&E Lewy body dementia Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8893116_LBD8_hires_image': DataArray[cyx] (3, 1255, 2000)
│ └── 'GSM8893116_LBD8_lowres_image': DataArray[cyx] (3, 377, 600)
├── Shapes
│ └── 'GSM8893116_LBD8': GeoDataFrame shape: (11447, 2) (2D shapes)
└── Tables
└── 'table': AnnData (11447, 18085)
with coordinate systems:
▸ 'GSM8893116_LBD8', with elements:
GSM8893116_LBD8_hires_image (Images), GSM8893116_LBD8_lowres_image (Images), GSM8893116_LBD8 (Shapes)
▸ 'GSM8893116_LBD8_downscaled_hires', with elements:
GSM8893116_LBD8_hires_image (Images), GSM8893116_LBD8 (Shapes)
▸ 'GSM8893116_LBD8_downscaled_lowres', with elements:
GSM8893116_LBD8_lowres_image (Images), GSM8893116_LBD8 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("727uUMbDHXGCXPkx0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("727uUMbDHXGCXPkx") # stem uid: Lamin resolves it to the latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Shell
# sddb client: download the .zarr into data/
sddb-cli download 727uUMbDHXGCXPkx0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/727uUMbDHXGCXPkx
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 727uUMbDHXGCXPkxLicense: NCBI GEO policy
Part of collection
Spatial transcriptomics Reveals Impact of APOE4 Allele on α-Synuclein Aggregation and Cell-Cell Communication in Lewy Body Dementia→ 10 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- temporal cortex
- Condition
- Lewy body dementia
- Modality
- RNA
- Observations (spots)
- 11,447
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,255 px
- mpp
- 12.881 µm/px
- Size
- 109 MB
- Sample ID
- GSM8893116
- License
- NCBI GEO policy
- Published
- Feb 2, 2026
Cite this dataset
doi.org/10.1007/s00401-026-02981-z ↗ BibTeX
@article{Jin_2026,
title = {Spatially resolved molecular signatures of Lewy body dementia},
volume = {151},
ISSN = {1432-0533},
url = {http://dx.doi.org/10.1007/s00401-026-02981-z},
DOI = {10.1007/s00401-026-02981-z},
number = {1},
journal = {Acta Neuropathologica},
publisher = {Springer Science and Business Media LLC},
author = {Jin, Yunjung and Chen, Kai and Wixom, Alexander Q. and Li, Zonghua and Koga, Shunsuke and Sekiya, Hiroaki and Xhafkollari, Gisela and Castanedes-Casey, Monica and Santhakumar, Hannah and Meneses, Axel D. and Neff, Abigail J. and Bu, Guojun and Heckman, Michael G. and Liu, Yuanhang and Ross, Owen A. and Dickson, Dennis W. and Zhao, Na},
year = {2026},
month = Jan
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB